{"id":"https://openalex.org/W1509232102","doi":"https://doi.org/10.1109/icar.2015.7251483","title":"A probabilistic approach for semantic classification using laser range data in indoor environments","display_name":"A probabilistic approach for semantic classification using laser range data in indoor environments","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1509232102","doi":"https://doi.org/10.1109/icar.2015.7251483","mag":"1509232102"},"language":"en","primary_location":{"id":"doi:10.1109/icar.2015.7251483","doi":"https://doi.org/10.1109/icar.2015.7251483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2015.7251483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608199","display_name":"International Conference on Advanced Robotics (ICAR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004284304","display_name":"Burak Kaleci","orcid":"https://orcid.org/0000-0002-2001-3381","observed_orcids":["https://orcid.org/0000-0002-2001-3381"]},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burak Kaleci","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I51209816"]},{"raw_affiliation_string":"Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071671906","display_name":"\u00c7a\u011fr\u0131 Mete \u015eenler","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cagri Mete Senler","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I51209816"]},{"raw_affiliation_string":"Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001721758","display_name":"Helin Duta\u011fac\u0131","orcid":"https://orcid.org/0000-0003-4528-9277","observed_orcids":["https://orcid.org/0000-0003-4528-9277"]},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Helin Dutagaci","raw_affiliation_strings":["Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070375522","display_name":"Osman Parlaktuna","orcid":"https://orcid.org/0000-0003-2741-6455","observed_orcids":["https://orcid.org/0000-0003-2741-6455"]},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Osman Parlaktuna","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Eski\u015fehir Osmangazi University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I51209816"]},{"raw_affiliation_string":"Electrical and Electronics Engineering Dept., Eski\u015fehir Osmangazi University, Turkey","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.5343,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72629726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-classification","display_name":"semantic classification","score":0.8389999866485596},{"id":"https://openalex.org/keywords/laser-range-data","display_name":"laser range data","score":0.8479999899864197},{"id":"https://openalex.org/keywords/indoor-environment","display_name":"indoor environment","score":0.8939999938011169},{"id":"https://openalex.org/keywords/robot-localization","display_name":"robot localization","score":0.8140000104904175},{"id":"https://openalex.org/keywords/room-classification","display_name":"room classification","score":0.8650000095367432},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.7789999842643738},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"learning vector quantization","score":0.9240000247955322},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.9229999780654907}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.8073241710662842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980655789375305},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.673265278339386},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5929737091064453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740662217140198},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5072624087333679},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47779732942581177},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.43734094500541687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43302661180496216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40125560760498047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3930901288986206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23060303926467896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12220945954322815},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icar.2015.7251483","doi":"https://doi.org/10.1109/icar.2015.7251483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2015.7251483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608199","display_name":"International Conference on Advanced Robotics (ICAR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1932338071","https://openalex.org/W1971381435","https://openalex.org/W1994348732","https://openalex.org/W2000321478","https://openalex.org/W2007321142","https://openalex.org/W2049207102","https://openalex.org/W2084735316","https://openalex.org/W2092104450","https://openalex.org/W2117324197","https://openalex.org/W2117892041","https://openalex.org/W2119203353","https://openalex.org/W2125691069","https://openalex.org/W2126842639","https://openalex.org/W2127218421","https://openalex.org/W2164921218","https://openalex.org/W2165881750","https://openalex.org/W2549002731","https://openalex.org/W3146532718","https://openalex.org/W4245005895"],"related_works":["https://openalex.org/W2084735316","https://openalex.org/W2978175780","https://openalex.org/W7014987063","https://openalex.org/W7071280121","https://openalex.org/W2157657326","https://openalex.org/W7095802109","https://openalex.org/W6945322844","https://openalex.org/W153448785","https://openalex.org/W2146599529","https://openalex.org/W2119203353"],"abstract_inverted_index":{"In":[0,73,108],"this":[1],"paper,":[2],"a":[3],"probabilistic":[4,84],"approach":[5,85],"is":[6,49,119,152,176],"proposed":[7,83,123,134],"for":[8],"semantic":[9,89,102],"classification":[10,115,149,159,164],"in":[11,20],"indoor":[12,21],"environments":[13,22],"using":[14],"laser":[15,53],"range":[16,54],"data.":[17],"Robot":[18],"locations":[19],"are":[23,41,64,79,126],"categorized":[24],"into":[25,121],"three":[26],"broad":[27],"classes":[28,103],"as":[29],"room,":[30],"corridor,":[31],"and":[32,35,70,145,168],"door.":[33],"K-means":[34,60,74,140],"Learning":[36],"Vector":[37],"Quantization":[38],"(LVQ)":[39],"methods":[40],"used":[42,65],"to":[43,51,66,86,110,128],"classify":[44],"robot":[45,58,92],"positions.":[46],"Circular":[47],"shifting":[48],"applied":[50],"render":[52],"data":[55,68],"independent":[56],"of":[57,91,104,114,132,166,172],"pose.":[59],"or":[61],"LVQ":[62,98,155],"algorithms":[63],"determine":[67],"clusters":[69],"their":[71],"centers.":[72,107],"method,":[75],"the":[76,82,88,95,105,112,122,130,133,163,173],"cluster":[77,106],"centers":[78],"modelled":[80],"with":[81],"consider":[87],"class":[90],"location.":[93],"On":[94],"other":[96],"hand,":[97],"method":[99,141,156],"inherently":[100],"provides":[101],"order":[109],"improve":[111],"rate":[113,151,160,165],"success,":[116],"Markov":[117,174],"model":[118,175],"integrated":[120],"approach.":[124,135],"Experiments":[125],"conducted":[127],"demonstrate":[129],"effectiveness":[131,171],"The":[136],"results":[137],"indicate":[138],"that":[139],"successfully":[142],"classifies":[143],"rooms":[144],"corridors,":[146],"but":[147],"door":[148,158],"success":[150],"not":[153],"satisfactory.":[154],"improves":[157],"without":[161],"decreasing":[162],"corridor":[167],"room.":[169],"Lastly,":[170],"discussed.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
